In this work, we expose issues in the common practice and establish systematic means to calibrate performance metrics of existing and future works, in the spirit of papers like [1]}, [2]}, [3]}. We provide initial attempts toward characterizing the difficulty of a monocular video for dynamic view synthesis (DVS) in terms of effective multi-view factors (EMFs).
In practice, there are other challenging factors such as variable appearance, lighting condition, motion complexity and more. We leave their characterization for future works.
We recommend future works to visualize the input sequences and report EMFs when demonstrating the results. We also recommend future works to evaluate the correspondence accuracy and strive for establishing better correspondences for DVS.
